Text-to-Image
Diffusers
TensorBoard
Safetensors
stable-diffusion
stable-diffusion-diffusers
controlnet
diffusers-training
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline
controlnet = ControlNetModel.from_pretrained("shnr02/pratikanet2")
pipe = StableDiffusionControlNetPipeline.from_pretrained(
"stable-diffusion-v1-5/stable-diffusion-v1-5", controlnet=controlnet
)controlnet-shnr02/pratikanet2
These are controlnet weights trained on stable-diffusion-v1-5/stable-diffusion-v1-5 with new type of conditioning.
Intended uses & limitations
How to use
# TODO: add an example code snippet for running this diffusion pipeline
Limitations and bias
Still produces images too close to the input data
Training details
This ControlNet model was fine-tuned on 90K examples of this dataset:
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Model tree for shnr02/pratikanet2
Base model
stable-diffusion-v1-5/stable-diffusion-v1-5